In these kinds of situations, we would prefer a model that is easy to interpret, such as the logistic regression model. The Delta-p statistics makes the interpretation of the coefficients even easier.

William H. Aeberhard, Eva Cantoni, Stephane Heritier, Robust Inference in the Negative Binomial Regression Model with an Application to Falls Data, Biometrics, Vol. 70, No. 4 (DECEMBER 2014), pp.

We discuss estimation and testing of hypotheses in a partial linear regression model, that is, a regression model where the regression function is the sum of a linear and a nonparametric component. We ...

Course TopicsLinear models, generalized linear models, and nonlinear models are examples of parametric regression models because we know the function that describes the relationship between the ...

Analysts debate XRP’s $200 target. Regression models show statistical potential, but on-chain data, whale moves, market maturity point to $3–$27 instead.

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of decision tree regression using the C# language. Unlike most implementations, this one does not use recursion ...

A new study investigated how logistic regression model training affects performance, and which features are best to include when examining datasets from individuals suffering from COVID-19.